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Monan/
webuiw

Name: webuiw
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Stable Diffusion web UI

A browser interface based on Gradio library for Stable Diffusion.

Check the custom scripts wiki page for extra scripts developed by users.

Features

Detailed feature showcase with images:

Original txt2img and img2img modes
One click install and run script (but you still must install python and git)
Outpainting
Inpainting
Color Sketch
Prompt Matrix
Stable Diffusion Upscale
Attention, specify parts of text that the model should pay more attention to
- a man in a ((tuxedo)) - will pay more attention to tuxedo
- a man in a (tuxedo:1.21) - alternative syntax
- select text and press ctrl+up or ctrl+down to automatically adjust attention to selected text (code contributed by anonymous user)
Loopback, run img2img processing multiple times
X/Y plot, a way to draw a 2 dimensional plot of images with different parameters
Textual Inversion
- have as many embeddings as you want and use any names you like for them
- use multiple embeddings with different numbers of vectors per token
- works with half precision floating point numbers
- train embeddings on 8GB (also reports of 6GB working)
Extras tab with:
- GFPGAN, neural network that fixes faces
- CodeFormer, face restoration tool as an alternative to GFPGAN
- RealESRGAN, neural network upscaler
- ESRGAN, neural network upscaler with a lot of third party models
- SwinIR and Swin2SR(see here), neural network upscalers
- LDSR, Latent diffusion super resolution upscaling
Resizing aspect ratio options
Sampling method selection
- Adjust sampler eta values (noise multiplier)
- More advanced noise setting options
Interrupt processing at any time
4GB video card support (also reports of 2GB working)
Correct seeds for batches
Live prompt token length validation
Generation parameters
- parameters you used to generate images are saved with that image
- in PNG chunks for PNG, in EXIF for JPEG
- can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
- can be disabled in settings
- drag and drop an image/text-parameters to promptbox
Read Generation Parameters Button, loads parameters in promptbox to UI
Settings page
Running arbitrary python code from UI (must run with --allow-code to enable)
Mouseover hints for most UI elements
Possible to change defaults/mix/max/step values for UI elements via text config
Random artist button
Tiling support, a checkbox to create images that can be tiled like textures
Progress bar and live image generation preview
Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
Styles, a way to save part of prompt and easily apply them via dropdown later
Variations, a way to generate same image but with tiny differences
Seed resizing, a way to generate same image but at slightly different resolution
CLIP interrogator, a button that tries to guess prompt from an image
Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
Batch Processing, process a group of files using img2img
Img2img Alternative, reverse Euler method of cross attention control
Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
Reloading checkpoints on the fly
Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
Custom scripts with many extensions from community
Composable-Diffusion, a way to use multiple prompts at once
- separate prompts using uppercase AND
- also supports weights for prompts: a cat :1.2 AND a dog AND a penguin :2.2
No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
DeepDanbooru integration, creates danbooru style tags for anime prompts
xformers, major speed increase for select cards: (add --xformers to commandline args)
via extension: History tab: view, direct and delete images conveniently within the UI
Generate forever option
Training tab
- hypernetworks and embeddings options
- Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
Clip skip
Use Hypernetworks
Use VAEs
Estimated completion time in progress bar
API
Support for dedicated inpainting model by RunwayML.
via extension: Aesthetic Gradients, a way to generate images with a specific aesthetic by using clip images embeds (implementation of https://github.com/vicgalle/stable-diffusion-aesthetic-gradients)
Stable Diffusion 2.0 support - see wiki for instructions

Installation and Running

Make sure the required dependencies are met and follow the instructions available for both NVidia (recommended) and AMD GPUs.

Alternatively, use online services (like Google Colab):

List of Online Services

Automatic Installation on Windows

Install Python 3.10.6, checking "Add Python to PATH"
Install git.
Download the stable-diffusion-webui repository, for example by running git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git.
Place model.ckpt in the models directory (see dependencies for where to get it).
(Optional) Place GFPGANv1.4.pth in the base directory, alongside webui.py (see dependencies for where to get it).
Run webui-user.bat from Windows Explorer as normal, non-administrator, user.

Automatic Installation on Linux

Install the dependencies:

bash

# Debian-based:
sudo apt install wget git python3 python3-venv
# Red Hat-based:
sudo dnf install wget git python3
# Arch-based:
sudo pacman -S wget git python3

To install in /home/$(whoami)/stable-diffusion-webui/, run:

bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)

Installation on Apple Silicon

Find the instructions here.

Contributing

Here's how to add code to this repo: Contributing

Documentation

The documentation was moved from this README over to the project's wiki.

Credits

Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
k-diffusion - https://github.com/crowsonkb/k-diffusion.git
GFPGAN - https://github.com/TencentARC/GFPGAN.git
CodeFormer - https://github.com/sczhou/CodeFormer
ESRGAN - https://github.com/xinntao/ESRGAN
SwinIR - https://github.com/JingyunLiang/SwinIR
Swin2SR - https://github.com/mv-lab/swin2sr
LDSR - https://github.com/Hafiidz/latent-diffusion
MiDaS - https://github.com/isl-org/MiDaS
Ideas for optimizations - https://github.com/basujindal/stable-diffusion
Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
xformers - https://github.com/facebookresearch/xformers
DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
Security advice - RyotaK
Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
(You)

Monan/webuiw